zephyr-7b-dpo-full / README.md
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metadata
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: zephyr-7b-dpo-full
    results: []

zephyr-7b-dpo-full

This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0984
  • Rewards/chosen: -1.3191
  • Rewards/rejected: -2.1712
  • Rewards/accuracies: 0.7695
  • Rewards/margins: 0.8521
  • Logps/rejected: -474.4743
  • Logps/chosen: -388.9529
  • Logits/rejected: -2.3033
  • Logits/chosen: -2.3263

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-07
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 2
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.1368 0.21 100 0.1234 -0.7206 -1.1646 0.6953 0.4441 -373.8169 -329.0978 -2.7113 -2.7294
0.0936 0.42 200 0.1059 -1.0413 -1.7570 0.7422 0.7157 -433.0510 -361.1696 -2.4844 -2.4997
0.1045 0.63 300 0.1050 -1.1721 -1.9852 0.7734 0.8130 -455.8698 -374.2533 -2.3263 -2.3482
0.1007 0.84 400 0.0984 -1.3191 -2.1712 0.7695 0.8521 -474.4743 -388.9529 -2.3033 -2.3263

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.14.1